A Sentence Selection Model and HLO Algorithm for Extractive Text Summarization

被引：0
|
作者：
Alguliyev, Rasim [1 ]
Aliguliyev, Ramiz [1 ]
Isazade, Nijat [1 ]
机构：
[1] Inst Informat Technol, Baku, Azerbaijan
来源：
2016 IEEE 10TH INTERNATIONAL CONFERENCE ON APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES (AICT) | 2016年
关键词：
Text summarization; sentence scoring; sentence selection; multi-objective optimization model; human learning optimization;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In paper text summarization represented as a sentence scoring and selection process. The process is modeled as a multi-objective optimization problem. The proposed model attempts to find balance between coverage and redundancy in a summary. For solving the optimization problem a human learning optimization algorithm is utilized.
引用
收藏
页码：206 / 209
页数：4
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